Translation and analysis of words by ChatGPT artificial intelligence
On this page you can get a detailed analysis of a word or phrase, produced by the best artificial intelligence technology to date:
- how the word is used
- frequency of use
- it is used more often in oral or written speech
- word translation options
- usage examples (several phrases with translation)
- etymology
statistically equivalent - translation to russian
математика
статистически эквивалентный
![Jeremias Benjamin Richter (1762–1807), one of the first chemists to publish tables of equivalent weights, and also the coiner of the word "[[stoichiometry]]".](https://commons.wikimedia.org/wiki/Special:FilePath/Jeremias Benjamin Richter.jpeg?width=200 "Jeremias Benjamin Richter (1762–1807), one of the first chemists to publish tables of equivalent weights, and also the coiner of the word \"[[stoichiometry]]\".")
2.JPG?width=200 "Powdered bis(dimethylglyoximate)nickel. This coordination compound can be used for the gravimetric determination of nickel.")
![Burette over a conical flask with [[phenolphthalein]] indicator used for [[acid–base titration]]](https://commons.wikimedia.org/wiki/Special:FilePath/Titration.png?width=200 "Burette over a conical flask with [[phenolphthalein]] indicator used for [[acid–base titration]]")
строительное дело
эквивалентная масса
Definition
Wikipedia
Statistical machine translation (SMT) is a machine translation paradigm where translations are generated on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora. The statistical approach contrasts with the rule-based approaches to machine translation as well as with example-based machine translation, and has more recently been superseded by neural machine translation in many applications (see this article's final section).
The first ideas of statistical machine translation were introduced by Warren Weaver in 1949, including the ideas of applying Claude Shannon's information theory. Statistical machine translation was re-introduced in the late 1980s and early 1990s by researchers at IBM's Thomas J. Watson Research Center and has contributed to the significant resurgence in interest in machine translation in recent years. Before the introduction of neural machine translation, it was by far the most widely studied machine translation method.
